Random forests for dura mater microvasculature segmentation using epifluorescence images
Automatic segmentation of microvascular structures is a critical step in quantitatively characterizing vessel remodeling and other physiological changes in the dura mater or other tissues. We developed a supervised random forest (RF) classifier for segmenting thin vessel structures using multiscale...
| Main Authors: | , , , , , , , |
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| Format: | Conference item |
| Published: |
IEEE
2016
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